THAT’S Only The First Stage When Considering Risk

Information Governance groupings consider Information Security to make a difference you have to then think about how they should be classifying the chance. Now there are docs out there on a few of these which talk about frameworks. British Columbia’s government has one for instance that discusses High, Low, and Medium risk, but also for me that basically misses the idea and over simplifies the problem which eventually ends up complicating implementation and operational decisions.

In a large Data world its not simply about the chance of a person little bit of information, its about the chance in context. So the first stage of classification is the chance of the information on its own “what?” It’s that type of classification that the BC Government framework can help you with.

There are some bits of information (The Australian Tax File Number for instance) where their corporate and business risk is high just as an individual piece of information. The Australian TFN has special handling rules and significant fines if dealt with incorrectly. This implies it’s well beyond “Personal Identification Information” which many companies consider to be the best level. The idea here is that this is about information as an individual entity, a personal address, a business registration, etc. That is only the first stage when considering risk.

The next stage is taking into consideration the Direct Aggregation Risk this is approximately what goes on when you combine two pieces of information together, do this visible change the risk. The categories remain the same but here we are looking at other elements. So for instance-address information would be low public, or risk, but when combined with somebody who link becomes higher risk. When looking at corporate and business information on sales that might be medium risk, but when that is tied to specific income or companies it could become a bigger risk. Also at this time you need to check out the policy of allowing information to be combined and you don’t want an “always no” policy.

So imagine if someone wants to mix personal information with twitter information to get personal choices? What is the policy for getting approval for new aggregations how quickly is risk assessed and it is business work allowed to continue while the risk is assessed? When looking at Direct Aggregation you tend to be looking at where the new value will come from in Big Data and that means you cannot just prevent that value being created. This brings us to the ultimate challenge in every this classification: Where do you record the chance? The point here is that you need to start thinking about how you automate this really, what tools you will need.

In a Big Data world the center of security is about being able to classify the chance and having that inform the best Data anomaly detection so you can inform the right people and drive the chance. Thus giving us the next piece of classification that’s needed is which is approximately understanding who gets informed when there can be an information breach. That is a core area of the given information Governance and classification approach, because it’s to listen to that the business needs to say “I’m interested when that specific risk is triggered”. This is another piece of Meta-data and one which then inform the Big Data security algorithms who should be alerted.

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